3467 search results - page 68 / 694 » Streamwise Feature Selection |
85
Voted
ICPR
2010
IEEE
15 years 3 months ago
2010
IEEE
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...
150
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ICML
2001
IEEE
16 years 1 months ago
2001
IEEE
In this paper, we examine the advantages and disadvantages of filter and wrapper methods for feature selection and propose a new hybrid algorithm that uses boosting and incorporat...
89
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
Feature selection is often applied to highdimensional data prior to classification learning. Using the same training dataset in both selection and learning can result in socalled ...
108
Voted
SETN
2010
Springer
15 years 7 months ago
2010
Springer
In the present work we address the problem of phone duration modeling for the needs of emotional speech synthesis. Specifically, relying on ten well known machine learning techniqu...
121
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ICASSP
2008
IEEE
15 years 7 months ago
2008
IEEE
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...